Xiangnan Zhong
Orcid: 0000-0002-8367-0215
According to our database1,
Xiangnan Zhong
authored at least 45 papers
between 2013 and 2024.
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Bibliography
2024
IEEE Internet Things J., February, 2024
Kernelized Deep Learning for Matrix Factorization Recommendation System Using Explicit and Implicit Information.
IEEE Trans. Neural Networks Learn. Syst., January, 2024
2023
Proceedings of the International Joint Conference on Neural Networks, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Multi-Virtual-Agent Reinforcement Learning for a Stochastic Predator-Prey Grid Environment.
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
IEEE Trans. Cybern., 2021
Consensus Control of Leader-Following Multi-Agent Systems in Directed Topology With Heterogeneous Disturbances.
IEEE CAA J. Autom. Sinica, 2021
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
A Reinforcement Learning-Based Control Approach for Unknown Nonlinear Systems with Persistent Adversarial Inputs.
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
IEEE Trans. Syst. Man Cybern. Syst., 2020
Event-triggered ADP control of a class of non-affine continuous-time nonlinear systems using output information.
Neurocomputing, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
Event-Triggered Globalized Dual Heuristic Programming and Its Application to Networked Control Systems.
IEEE Trans. Ind. Informatics, 2019
Prioritizing Useful Experience Replay for Heuristic Dynamic Programming-Based Learning Systems.
IEEE Trans. Cybern., 2019
Deep Deterministic Policy Gradients with Transfer Learning Framework in StarCraft Micromanagement.
Proceedings of the 2019 IEEE International Conference on Electro Information Technology, 2019
2018
Adaptive Dynamic Programming for Robust Regulation and Its Application to Power Systems.
IEEE Trans. Ind. Electron., 2018
IEEE Trans. Cybern., 2018
IEEE Comput. Intell. Mag., 2018
Data-Driven Reinforcement Learning Design for Multi-agent Systems with Unknown Disturbances.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2017
Event-Triggered Adaptive Dynamic Programming for Continuous-Time Systems With Control Constraints.
IEEE Trans. Neural Networks Learn. Syst., 2017
Adaptive Event-Triggered Control Based on Heuristic Dynamic Programming for Nonlinear Discrete-Time Systems.
IEEE Trans. Neural Networks Learn. Syst., 2017
Q-Learning-Based Vulnerability Analysis of Smart Grid Against Sequential Topology Attacks.
IEEE Trans. Inf. Forensics Secur., 2017
Event-Driven Nonlinear Discounted Optimal Regulation Involving a Power System Application.
IEEE Trans. Ind. Electron., 2017
IEEE Trans. Cybern., 2017
An Event-Triggered ADP Control Approach for Continuous-Time System With Unknown Internal States.
IEEE Trans. Cybern., 2017
A reinforcement learning approach for sequential decision-making process of attacks in smart grid.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
A computational intelligence approach for residential home energy management considering reward incentives.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
IEEE Trans. Neural Networks Learn. Syst., 2016
IEEE Trans. Fuzzy Syst., 2016
Near optimal control for microgrid energy systems considering battery lifetime characteristics.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Energy storage system operation: Case studies in deterministic and stochastic environments.
Proceedings of the 2016 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2016
Convergence analysis of GrDHP-based optimal control for discrete-time nonlinear system.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Comparative studies of power grid security with network connectivity and power flow information using unsupervised learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2015
IEEE Trans. Neural Networks Learn. Syst., 2015
Neurocomputing, 2015
Event-triggered adaptive dynamic programming for continuous-time nonlinear system using measured input-output data.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
A boundedness theoretical analysis for GrADP design: A case study on maze navigation.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Predictive event-triggered control based on heuristic dynamic programming for nonlinear continuous-time systems.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
2014
Optimal Control for Unknown Discrete-Time Nonlinear Markov Jump Systems Using Adaptive Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2014
Event-triggered reinforcement learning approach for unknown nonlinear continuous-time system.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Impact of signal transmission delays on power system damping control using heuristic dynamic programming.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid, 2014
Data-driven partially observable dynamic processes using adaptive dynamic programming.
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014
2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013